LLM Comparison

DeepSeek V4 Pro 0813 vs Composer 2.5: benchmark scores, pricing & comparison.

Side-by-side DeepSeek V4 Pro 0813 vs Composer 2.5 comparison across SWE-bench, GPQA, HLE, Terminal-Bench, coding agent scores, token pricing, context window, and AskClash RWT. Green marks the winner on each benchmark.

Rank #15 vs #50AskClash overall scores 61.1 vs 23.6.
Pricing $0.43/$0.87 vs $0.50/$2.50Input and output token prices per 1M tokens when published.
Open Weight vs ProprietaryDeepSeek vs Cursor.

DeepSeek V4 Pro 0813 vs Composer 2.5 benchmark comparison

Green cells highlight the winning model for each metric. Scores are cached from the AskClash LLM leaderboard snapshot.

MetricDeepSeek V4 Pro 0813Composer 2.5
Overall Score61.123.6
Leaderboard Rank#15#50
ACB54.753.2
RWT7.08.5
Coding Agent Index38.2
HLE42.7
GPQA90.1
SWE-bench80.6
SWE-Pro55.447.0
SWE-Atlas72.0
Terminal-Bench87.969.3
DeepSWE62.7
MCP Atlas73.6
Input Price (per 1M tokens)$0.43$0.50
Output Price (per 1M tokens)$0.87$2.50
Context Window1M200K
Benchmarks Published95

DeepSeek V4 Pro 0813 vs Composer 2.5 head-to-head charts

DeepSeek V4 Pro 0813 leads 4 and Composer 2.5 leads 1 of 5 shared benchmarks. DeepSeek V4 Pro 0813 is cheaper on a defined 1M-input / 200K-output workload. Charts show only benchmarks both models publish.

DeepSeek V4 Pro 0813Composer 2.5
Overall
61.1DeepSeek V4 Pro 0813
23.6Composer 2.5
ACB
54.7DeepSeek V4 Pro 0813
53.2Composer 2.5
RWT
7.0DeepSeek V4 Pro 0813
8.5Composer 2.5
SWE-Pro
55.4DeepSeek V4 Pro 0813
47.0Composer 2.5
Terminal-Bench
87.9DeepSeek V4 Pro 0813
69.3Composer 2.5
DeepSeek V4 Pro 0813
Input$0.43
Output$0.87
Workload$0.61
Context1M
Composer 2.5
Input$0.50
Output$2.50
Workload$1.00
Context200K

Workload = published cost of 1M input + 200K output tokens. Open the live leaderboard for interactive compare charts.

More DeepSeek V4 Pro 0813 and Composer 2.5 comparisons

Explore how DeepSeek V4 Pro 0813 and Composer 2.5 stack up against other top-ranked LLMs.

How to read this comparison

Benchmark scores

Higher is better for all benchmark scores (SWE-bench, GPQA, HLE, Terminal-Bench, etc.). Green marks the model with the higher score.

Token pricing

Lower is better for input and output prices. Green marks the cheaper model per 1M tokens.

Coverage matters

Models with fewer disclosed benchmark cells may have inflated percentile scores. Check the benchmark cell count for context.

This comparison page is generated from the AskClash LLM leaderboard cache. Open the live leaderboard for real-time scores and interactive filtering.